SRE / Operations
Improve reliability while enabling change: SLOs, incident maturity, and toil reduction.
You'll define SLOs and error budgets to ship faster within reliability bounds, measure MTTR and toil percentage, and automate the manual parts: releases, handoffs, instrumentation defaults. The page covers SLO math, incident runbooks and blameless reviews, and foundations like distributed tracing and structured logging.
Reliability as a Feature
SRE balances reliability with velocity using error budgets. If you're within budget, ship faster. If you're burning budget, slow down and fix. Elite teams achieve 99.9%+ availability while deploying multiple times per day.
DORA 2025: AI Changes Incident Response
Key insight from the 2025 State of DevOps report
AI is transforming how SRE teams operate. AI-assisted incident analysis can reduce MTTR by correlating signals across logs, metrics, and traces in seconds. But AI is an amplifier; without solid observability foundations, AI tools have nothing meaningful to analyze.
Invest in SLOs, structured logging, and distributed tracing first; they're prerequisites for AI-assisted operations.
SLOs & Error Budgets
Reliability targets with tradeoffs
Incident Maturity
Faster learning, less chaos
Toil Reduction
Automate the boring parts
SLO Quick Reference
Error Budget Math
Higher SLO = less room for error = slower iteration
Common SLIs
Common Anti-Patterns
Avoid
Instead
SRE Metrics That Matter
MTTR
Target: <1 hour
Toil %
Target: <50%
SLO Attainment
Target: >95%
Error Budget
Target: >25%
Relevant Resources
Ready to Improve Reliability?
Assess your current SRE maturity and identify high-impact improvements.